Compliance Wording for Private Domain Consultation Conversion: Forms and Interaction

Compliance wording data in the biopharmaceutical sector originates primarily from regulatory documents, guidelines, approval information published by

Data Characteristics for this Category

Compliance wording data in the biopharmaceutical sector originates primarily from regulatory documents, guidelines, approval information published by official bodies such as the National Medical Products Administration (NMPA) and the National Health Commission, as well as internal compliance review reports and training materials from companies. This type of data updates frequently. Regulatory documents typically undergo annual revisions or additions, while internal company materials adjust dynamically based on product lifecycles and market changes. Documents are mostly in PDF and Word formats, with some content residing in internal knowledge management systems. Data fields include, but are not limited to, drug names, indications, contraindications, adverse reactions, dosage and administration, example promotional language, approval numbers, publication dates, and revision history. Units are often textual descriptions, with milligrams (mg) and milliliters (ml) used when referring to dosages.

Constraints Imposed by These Characteristics on "Forms and Interaction"

The multi-source and high-frequency update nature of compliance wording data requires form designs that support batch import and version management of multi-format documents. This ensures that consultations always retrieve the latest and reviewed versions. The rigor and specialized nature of regulatory provisions demand that interaction design provides precise retrieval and citation mechanisms to avoid misleading information from vague matches. Especially for core fields such as drug names and indications, form input requires strict validation rules to prevent user input errors that could lead to retrieval failures or skewed results. Additionally, given the high accuracy requirements for compliance wording, the system should clearly indicate information sources and timeliness during interactions, and provide a quick feedback channel for timely correction of potential errors or omissions.

Configuration Settings

Configuration ItemSuggested ValueRationale
Chunk size500–800 charactersRegulatory clauses often have lengthy descriptions; this maintains contextual integrity and reduces the risk of misinterpretation.
Recall countTop 8 entriesEnsures coverage of multiple relevant regulatory clauses or official interpretations, improving retrieval accuracy.
Similarity threshold0.75Strictly controls similarity to ensure retrieved results are highly relevant to the user query, reducing the risk of misjudgment.
Rerank result countTop 3 entriesFrom a high recall rate, selects the most relevant few entries to display to the user, enhancing information acquisition efficiency.
PARSE_FILE_TIMEOUT_SECONDS600 secondsProvides ample parsing time when processing regulatory documents containing numerous specialized terms and complex tables.
maxContext8000 tokensHandles lengthy regulatory consultations, providing sufficient context for the model to understand and generate responses.

Three Common Mistakes

  • After a user submits a consultation form, the system displays "No retrieval results." This may be because the knowledge base segmentation is either too long or too short, leading to critical information being truncated or insufficient context, preventing effective matching with the user's query.
  • When adding a new team member, the interface shows "Invalid username." This usually occurs because the entered account is not registered in the system's user management module or permission configuration is incorrect.
  • After importing a knowledge base document, some page content cannot be displayed or selected normally. This might be due to the imported PDF document being encrypted, containing image-based text, or having an abnormal format, which prevents FastGPT's parser from correctly recognizing and extracting the text.

How to Confirm Correct Configuration

  • Select multiple typical compliance consultation scenarios. Simulate user input and verify that the system returns accurate, complete, and timely compliance wording.
  • After importing key regulatory documents, use the backend preview function to verify that the content is parsed correctly, especially ensuring that tables and special characters are preserved.
  • Test team members with different permission levels to confirm that their operational permissions for form filling and knowledge base management align with the intended settings.

Note: The values provided are common starting points. It is recommended to measure against specific samples and adjust as needed.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.